Generative ai for customizable learning experiences
The introduction of accessible generative artificial intelligence opens promising
opportunities for the implementation of personalized learning methods in any educational …
opportunities for the implementation of personalized learning methods in any educational …
Quantized Delta Weight Is Safety Keeper
Recent advancements in fine-tuning proprietary language models enable customized
applications across various domains but also introduce two major challenges: high resource …
applications across various domains but also introduce two major challenges: high resource …
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
This paper focuses on sarcasm detection, which aims to identify whether given statements
convey criticism, mockery, or other negative sentiment opposite to the literal meaning. To …
convey criticism, mockery, or other negative sentiment opposite to the literal meaning. To …
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
Multimodal foundation models are prone to hallucination, generating outputs that either
contradict the input or are not grounded by factual information. Given the diversity in …
contradict the input or are not grounded by factual information. Given the diversity in …
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
The development of Large Language Models (LLMs) has significantly advanced various AI
applications in commercial and scientific research fields, such as scientific literature …
applications in commercial and scientific research fields, such as scientific literature …
Unc-TTP: A Method for Classifying LLM Uncertainty to Improve In-Context Example Selection
Nowadays, Large Language Models (LLMs) have demonstrated exceptional performance
across various downstream tasks. However, it is challenging for users to discern whether the …
across various downstream tasks. However, it is challenging for users to discern whether the …
StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models
Planning and acting to solvereal'tasks using large language models (LLMs) in interactive
environments has become a new frontier for AI methods. While recent advances allowed …
environments has become a new frontier for AI methods. While recent advances allowed …
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
AT Strand, S Gautam, C Midoglu… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid evolution of digital sports media necessitates sophisticated information retrieval
systems that can efficiently parse extensive multimodal datasets. This paper introduces …
systems that can efficiently parse extensive multimodal datasets. This paper introduces …
LLM Unlearning via Loss Adjustment with Only Forget Data
Unlearning in Large Language Models (LLMs) is essential for ensuring ethical and
responsible AI use, especially in addressing privacy leak, bias, safety, and evolving …
responsible AI use, especially in addressing privacy leak, bias, safety, and evolving …
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
In abstractive summarization, the challenge of producing concise and accurate summaries
arises from the vast amount of information contained in the source document. Consequently …
arises from the vast amount of information contained in the source document. Consequently …